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Subject for Introduction to Morphogenetic Computing:

This book offers a concise introduction to morphogenetic computing,
showing that its use makes global and local relations, defects in crystal
non-Euclidean geometry databases with source and sink, genetic algorithms,
and neural networks more stable and efficient.

It also presents
applications to database, language, nanotechnology with defects,
biological genetic structure, electrical circuit, and big data structure.
In Turing machines, input and output states form a system – when the
system is in one state, the input is transformed into output. This
computation is always deterministic and without any possible contradiction
or defects.

In natural computation there are defects and
contradictions that have to be solved to give a coherent and effective
computation. The new computation generates the morphology of the system
that assumes different forms in time. Genetic process is the prototype of
the morphogenetic computing. At the Boolean logic truth value, we
substitute a set of truth (active sets) values with possible
contradictions. The value of a proposition is a set of true and false
values. The aim of morphogenetic computing is to use and solve the
contradictions in order to transform systems to allow classical
computation.

Presents a concise introduction to morphogenetic computing - Introduces a fundamental new approach to computation by which you can move from uncertainty, inconsistency, and imprecision to a more logical stable and consistent situation - Shows that global and local relations, defects in crystal non-Euclidean geometry databases with source and sink, genetic algorithms, and neural networks all become more stable and efficient when using morphogenetic computing